remove try-except limit from coder prompt

rdagent/components/coder/data_science/ensemble/prompts.yaml

@@ -35,7 +35,6 @@ ensemble_coder:
     {% endfor %}
     {% endif %}
 
-    Don't write any try-except block in your python code. The user will catch the exception message and provide the feedback to you.
     You should avoid using logging module to output information in your generated code, and instead use the print() function.
 
     ## Output Format

rdagent/components/coder/data_science/feature/prompts.yaml

@@ -39,7 +39,6 @@ feature_coder:
       - If a previous attempt exists, improve upon it without repeating mistakes.
       - If errors indicate a missing file, find a way to download it or implement an alternative solution.
       - You should avoid using logging module to output information in your generated code, and instead use the print() function.
-      - Don't write any try-except block in your python code. The user will catch the exception message and provide the feedback to you.
 
     ## Output Format
     Please response the code in the following json format. Here is an example structure for the JSON output:

rdagent/components/coder/data_science/model/prompts.yaml

@@ -38,7 +38,6 @@ model_coder:
     2. You should avoid using logging module to output information in your generated code, and instead use the print() function.
     3. You can decide whether to use AutoML based on the characteristics of the task.
     4. If the model can both be implemented by PyTorch and Tensorflow, please use pytorch for broader compatibility.
-    5. Don't write any try-except block in your python code. The user will catch the exception message and provide the feedback to you.
 
     ## Output Format
     {% if out_spec %}

rdagent/components/coder/data_science/raw_data_loader/prompts.yaml

@@ -329,7 +329,6 @@ data_loader_coder:
 
     ## Guidelines
     1. Ensure that the dataset is loaded strictly from `/kaggle/input/`, following the exact folder structure described in the **Data Folder Description**, and do not attempt to load data from the current directory (`./`).
-    2. Don't write any try-except block in your python code. The user will catch the exception message and provide the feedback to you.
     3. You should avoid using logging module to output information in your generated code, and instead use the print() function.
 
     ## Output Format

rdagent/components/coder/data_science/workflow/prompts.yaml

@@ -40,7 +40,6 @@ workflow_coder:
     3. The user may provide specific code organization rules and instructions. Ensure that the integration follows the given framework and structure.
     4. After predicting the output, print the shape and other information of the output to stdout to help the evaluator assess the code.
     5. You should avoid using logging module to output information in your generated code, and instead use the print() function.
-    6. Don't write any try-except block in your python code. The user will catch the exception message and provide the feedback to you.
 
     ## Output Format
     Please response the code in the following json format. Here is an example structure for the JSON output: